Real-time AI Processing
Implement strategies for real-time AI inference and processing to provide instant feedback and dynamic features.
Intro to Real-time AI
Welcome to Real-time AI Processing! In this lesson, we'll explore how to make AI models respond instantly.
Real-time AI is about getting immediate predictions or insights from your AI models. This is crucial for creating dynamic, responsive features in your SaaS application.
Real-time vs. Batch Processing
AI processing generally falls into two categories:
- Batch Processing: Runs on large datasets, usually scheduled. Results aren't instant; think daily reports.
- Real-time Processing: Processes data as it arrives, providing immediate results. Essential for interactive experiences.
For SaaS, real-time AI often powers features that users interact with directly.
All lessons in this course
- Fine-Tuning LLMs
- Real-time AI Processing
- Monitoring AI Performance
- Retrieval-Augmented Generation (RAG)